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Mechanistic Explanations for Restricted Evolutionary Paths That Emerge from Gene Regulatory Networks
Authors:James Cotterell  James Sharpe
Affiliation:1. EMBL-CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Barcelona, Spain.; 2. Developmental Biology Section, MRC Human Genetics Unit, Edinburgh, United Kingdom.; 3. Institució Catalana de Recerca i Estudis Avançats (ICREA) Professor, Centre for Genomic Regulation (CRG), Barcelona, Spain.; University of Iceland, Iceland,
Abstract:The extent and the nature of the constraints to evolutionary trajectories are central issues in biology. Constraints can be the result of systems dynamics causing a non-linear mapping between genotype and phenotype. How prevalent are these developmental constraints and what is their mechanistic basis? Although this has been extensively explored at the level of epistatic interactions between nucleotides within a gene, or amino acids within a protein, selection acts at the level of the whole organism, and therefore epistasis between disparate genes in the genome is expected due to their functional interactions within gene regulatory networks (GRNs) which are responsible for many aspects of organismal phenotype. Here we explore epistasis within GRNs capable of performing a common developmental function – converting a continuous morphogen input into discrete spatial domains. By exploring the full complement of GRN wiring designs that are able to perform this function, we analyzed all possible mutational routes between functional GRNs. Through this study we demonstrate that mechanistic constraints are common for GRNs that perform even a simple function. We demonstrate a common mechanistic cause for such a constraint involving complementation between counter-balanced gene-gene interactions. Furthermore we show how such constraints can be bypassed by means of “permissive” mutations that buffer changes in a direct route between two GRN topologies that would normally be unviable. We show that such bypasses are common and thus we suggest that unlike what was observed in protein sequence-function relationships, the “tape of life” is less reproducible when one considers higher levels of biological organization.
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